Triple modular redundancy used in field programmable neural networks
Martin Krčma, Zdeněk Kotásek, Jakub Lojda · 2017
This paper presents the concepts of FPNA and FPNN, used for the approximation of artificial neural networks in FPGAs and discusses the usage of TMR technique in order to reach a fault tolerance. The diagrams of the FPGA implementation are presented. The results of experiments determining the FPGA resources utilization with different usage of the TMR technique are provided.